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On Statistical Efficiency in Learning

On Statistical Efficiency in Learning

24 December 2020
Jie Ding
Enmao Diao
Jiawei Zhou
Vahid Tarokh
ArXivPDFHTML

Papers citing "On Statistical Efficiency in Learning"

5 / 5 papers shown
Title
NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics
NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics
Jiawei Zhou
Woojeong Kim
Zhiying Xu
Alexander M. Rush
Minlan Yu
AI4CE
44
0
0
31 Dec 2024
Federated Learning Challenges and Opportunities: An Outlook
Federated Learning Challenges and Opportunities: An Outlook
Jie Ding
Eric W. Tramel
Anit Kumar Sahu
Shuang Wu
Salman Avestimehr
Tao Zhang
FedML
37
55
0
01 Feb 2022
The Rate of Convergence of Variation-Constrained Deep Neural Networks
The Rate of Convergence of Variation-Constrained Deep Neural Networks
Gen Li
Jie Ding
17
6
0
22 Jun 2021
Bridging AIC and BIC: a new criterion for autoregression
Bridging AIC and BIC: a new criterion for autoregression
Jie Ding
Vahid Tarokh
Yuhong Yang
149
75
0
11 Aug 2015
Data-driven calibration of penalties for least-squares regression
Data-driven calibration of penalties for least-squares regression
Sylvain Arlot
P. Massart
152
159
0
06 Feb 2008
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